Statistical Parametric Mapping The Analysis of Functional Brain Images

Author: William D. Penny
Publisher: Elsevier
ISBN: 0080466508
Format: PDF, ePub, Mobi
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In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. An essential reference and companion for users of the SPM software Provides a complete description of the concepts and procedures entailed by the analysis of brain images Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data Stands as a compendium of all the advances in neuroimaging data analysis over the past decade Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes Structured treatment of data analysis issues that links different modalities and models Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible

Human Brain Function

Author: Karl J. Friston
Publisher: Elsevier
ISBN: 9780080472959
Format: PDF, ePub, Mobi
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This updated second edition provides the state of the art perspective of the theory, practice and application of modern non-invasive imaging methods employed in exploring the structural and functional architecture of the normal and diseased human brain. Like the successful first edition, it is written by members of the Functional Imaging Laboratory - the Wellcome Trust funded London lab that has contributed much to the development of brain imaging methods and their application in the last decade. This book should excite and intrigue anyone interested in the new facts about the brain gained from neuroimaging and also those who wish to participate in this area of brain science. * Represents an almost entirely new book from 1st edition, covering the rapid advances in methods and in understanding of how human brains are organized * Reviews major advances in cognition, perception, emotion and action * Introduces novel experimental designs and analytical techniques made possible with fMRI, including event-related designs and non-linear analysis

Handbook of Functional MRI Data Analysis

Author: Russell A. Poldrack
Publisher: Cambridge University Press
ISBN: 1139498363
Format: PDF, Docs
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Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

Quantitative Functional Brain Imaging with Positron Emission Tomography

Author: Richard E. Carson
Publisher: Elsevier
ISBN: 9780080540115
Format: PDF, Mobi
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This book presents the latest scientific developments in the field of positron emission tomography (PET) dealing with data acquisition, image processing, applications, statistical analysis, tracer development, parameter estimation, and kinetic modeling. It covers improved methodology and the application of existing techniques to new areas. The text also describes new approaches in scanner design and image processing, and the latest techniques for modeling and statistical analyses. This volume will be a useful reference for the active brain PET scientist, as well as a valuable introduction for students and researchers who wish to take advantage of the capabilities of PET to study the normal and diseased brain. Authored by international authorities in PET Provides the latest up-to-date techniques and applications Covers all fundamental disciplines of PET in one volume A comprehensive resource for students, clinicians, and new PET researchers

Neuroscience Databases

Author: Rolf Kötter
Publisher: Springer Science & Business Media
ISBN: 1461510791
Format: PDF, Docs
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Neuroscience Databases: A Practical Guide is the first book providing a comprehensive overview of these increasingly important databases. This volume makes the results of the Human Genome Project and other recent large-scale initiatives in the neurosciences available to a wider community. It extends the scope of bioinformatics from the molecular to the cellular, microcircuitry and systems levels, dealing for the first time with complex neuroscientific issues and leading the way to a new culture of data sharing and data mining necessary to successfully tackle neuroscience questions. Aimed at the novice user who wants to access the data, it provides clear and concise instructions on how to download the available data sets and how to use the software with a minimum of technical detail with most chapters written by the database creators themselves.

Quantification of Brain Function Using PET

Author:
Publisher: Elsevier
ISBN: 9780080540108
Format: PDF, ePub, Docs
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Functional imaging of the brain is one of the most rapidly advancing areas of neuroscience and Positron Emission Tomography (PET) plays a major role in this progress. This book provides a comprehensive overview of the current status of PET and state-of-the-art neuroimaging. It is comprised of summaries of the presentations by experts in the field. Topics covered include radiotracer selection, advances in instrumentation, image reconstruction and data analysis, and statistical mapping of brain activity. This book focuses on the accuracy of the functional image and the strategies for addressing clinical, scientific, and diagnostic questions. Covers the PET imaging process from tracer selection to analysis and interpretation Contains 79 concise reports with abundant illustrations The definitive state-of-the-art book for functional neuroscience with PET

Multimodal Brain Image Analysis

Author: Li Shen
Publisher: Springer
ISBN: 3319021265
Format: PDF, ePub
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This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.

Brain Imaging Using PET

Author: Yuichi Kimura
Publisher: Gulf Professional Publishing
ISBN: 9780126366518
Format: PDF
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Discusses PET technique and instrumentation, as well as developments in a range of fields such as kinetics, enzyme/neurotransmitter transport, language acquisition, and neuropathology. This title offers an analysis of brain imaging and techniques, from the foundations to the practical applications of the modern techniques used in PET.

MRI Atlas of Human White Matter

Author: Kenichi Oishi
Publisher: Academic Press
ISBN: 9780123820822
Format: PDF
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MRI Atlas of Human White Matter presents an atlas to the human brain on the basis of T 1-weighted imaging and diffusion tensor imaging. A general background on magnetic resonance imaging is provided, as well as the basics of diffusion tensor imaging. An overview of the principles and limitations in using this methodology in fiber tracking is included. This book describes the core white-matter structures, as well as the superficial white matter, the deep gray matter, and the cortex. It also presents a three-dimensional reconstruction and atlas of the brain white-matter tracts. The Montreal Neurological Institute coordinates, which are the most widely used, are adopted in this book as the primary coordinate system. The Talairach coordinate system is used as the secondary coordinate system. Based on magnetic resonance imaging and diffusion tensor imaging, the book offers a full segmentation of 220 white-matter and gray-matter structures with boundaries. Visualization of brain white matter anatomy via 3D diffusion tensor imaging (DTI) contrasts and enhances relationship of anatomy to function Full segmentation of 170+ brain regions more clearly defines structure boundaries than previous point-and-annotate anatomical labeling, and connectivity is mapped in a way not provided by traditional atlases